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Semantic Scholar Open Access 2024 41 sitasi

Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology

Ming-Jie Luo Jianyu Pang Shaowei Bi Yunxi Lai Jiaman Zhao +9 lainnya
Lihat Sumber DOI

Abstrak

This quality improvement study discusses the challenges of knowledge inaccuracies and data privacy issues when using large language models in ophthalmology and how to overcome them.

Topik & Kata Kunci

Medicine

Penulis (14)

M

Ming-Jie Luo

J

Jianyu Pang

S

Shaowei Bi

Y

Yunxi Lai

J

Jiaman Zhao

Y

Yuanrui Shang

T

Tingxin Cui

Y

Yahan Yang

Z

Zhenzhe Lin

L

Lanqin Zhao

X

Xiaohang Wu

D

Duoru Lin

J

Jingjing Chen

H

Haotian Lin

Format Sitasi

APA MLA BibTeX
Luo, M., Pang, J., Bi, S., Lai, Y., Zhao, J., Shang, Y. et al. (2024). Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology. https://doi.org/10.1001/jamaophthalmol.2024.2513

Akses Cepat

Lihat di Sumber doi.org/10.1001/jamaophthalmol.2024.2513
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
41×
Sumber Database
Semantic Scholar
DOI
10.1001/jamaophthalmol.2024.2513
Akses
Open Access ✓